Development of mobile application to identify fall risk in the elderly

Abstract

INTRODUCTION: A fall can occur at any stage of one's life; however, it is more common in the elderly. The effects of falls are serious, in social and economic terms, in the country and worldwide. Today, the public health system extensively encourages scientific studies that help prevent these accidents effectively, reducing the demand for health services and its associated costs. OBJECTIVE: To develop an electronic mobile web tool (app) that helps health professionals to assess risk factors related to falls among elderly people, utilising validated instruments designed for this age group that are widely used in the literature and adapted to Brazilian Portuguese. METHOD: This is a project regarding the development of a prototype for use on the Android platform, programmed in JAVA. RESULTS: After analysing the criteria set out in the study, the selected tools for software development were the Dynamic Gait Index-DGI, the Berg Balance Scale, the Timed Up and Go (TUG) test and the Tinetti Balance test (Performance Oriented Mobility Assessment-POMA). The tests conducted after the software development phase showed the predetermined requirements were met 100%. CONCLUSION: The app that was developed during the process proved to be versatile, fast, includes the main instruments that are validated in the Brazilian literature, identifies the risk of falls in the elderly, is easy to use, which all are positive incentives for health professionals to use the device.